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20222026
most citedLearning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads

4 citations · 7 across the 5 of their papers we have counts for

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cs.LG2026

Where the Model Changes Its Mind: Hindsight-Divergence Localization for Efficient Reinforcement Learning with Verifiable Rewards

Fanchao Chen, Hengyu Fu, Shivaram Venkataraman +1

Group-relative methods for reinforcement learning with verifiable rewards (RLVR) learn from differences in rollout outcomes. Independently sampling complete trajectories is costly…